GitOps and Repository Federation
GitOps Flow and Federated Repository Structure
Architecture: Open Assessment Standard (OAS v1beta1) Area: DevOps, MLOps, CI/CD, Spec Manager Indexing, and Taxonomy.
This document establishes the optimal communication channel between the Curator Agent (the LLM generating content), Gitea (the MicroK8s storage), and the Spec Manager (the Java backend), as well as the strict directory and naming conventions for proper indexing across multiple decentralized repositories.
1. GitOps Flow: Orchestrating the Agent, Gitea, and Spec Manager
When an AI Agent generates thousands of YAML files, the method of injecting these files into the database (PostgreSQL with pgvector) dictates the entire platform’s stability.
Analysis of Architectural Options
❌ Option A: Modifying the hostpath in MicroK8s directly
- Mechanics: The Python Agent writes YAML files directly to disk.
- Verdict: CRITICAL ANTI-PATTERN. PROHIBITED.
- Why: Modifying files directly on disk bypasses the git server. Gitea won’t recognize the changes, commits won’t be registered, history will corrupt, and Webhooks will not trigger.
⚠️ Option B: Sending YAMLs directly to the Spec Manager API
- Mechanics: The Agent makes a POST request to the Java backend. Spec Manager saves to PostgreSQL and makes a commit.
- Verdict: Valid, but couples the system.
- Why: Turns the Spec Manager into a heavy CMS and loses traceability if the YAML fails before insertion. Breaks the GitOps principle.
✅ Option C: The Agent interacts with Gitea (The Winning Architecture)
- Mechanics: The AI Agent acts like a “Junior Developer,” using Gitea’s REST API to create Commits and Pull Requests. Gitea notifies the Spec Manager via webhooks.
- Verdict: THE GOLD STANDARD (Pure GitOps).
- Why: Maintains separation of concerns. Git is the Single Source of Truth (SSOT) and allows for Human-in-the-Loop review.
The “Agentic GitOps” Pipeline (Step-by-Step)
- Curator Agent generates content: The LLM processes a PDF and generates a YAML block in memory.
- Agent makes a Commit via API: The script makes an API call to Gitea (
POST /api/v1/repos/{owner}/{repo}/contents/{filepath}) with the base64 YAML. - CI Validation and Approval: Gitea runs linters. A human approves the Merge to the main branch.
- Gitea Webhook: Gitea fires a Webhook to the Spec Manager indicating the changes.
- Spec Manager steps in: Downloads the Raw YAML, transforms it into Java entities, vectorizes using LangChain4j, and saves to PostgreSQL (pgvector).
Benefits: Safe Reversibility, Clear Auditing, Architectural Decoupling.
2. GitOps Specification: Federated Repository Structure
At ColabEdu, Git is the Single Source of Truth (SSOT). To guarantee Data Sovereignty (B2G/B2B), the architecture evolves from a monorepo to a Federated GitOps model.
Deployment Strategy: From Monorepo to Federation
- PHASE 1: The Transitional Monorepo (Months 1-12)
Everything lives in
colabedu-specs-repo. To simulate federation, we use Namespaces in filenames and logical folders (/core/vs/tenants/sandbox/). - PHASE 2: True Federation (B2B/B2G Scaling) Move the tenant’s folder to their own private repository and connect the Webhook. Zero Java refactoring required.
Logical Federated Architecture (Core vs. Tenant)
- The “Core” (Managed by ColabEdu): System skeleton and public domain knowledge (Public C0 Laws, Taxonomies, C1 Templates).
- The “Tenants” (Managed by Clients): Private or customized information (Private C0 Rubrics, Sensitive C2 Texts, C1 Recipes).
Strict Naming Rules (Dot Notation)
The metadata.id field inside the YAML must exactly match the filename (without the .yaml extension).
- Taxonomy:
taxonomy.[scope].[framework_name].v[version].yaml - Layer C0 (Rubrics and Laws):
[namespace_org].[country].c0.[law_or_institution].[exam_or_topic].v[version].yaml - Layer C2 (Contexts and Texts):
[namespace_org].[country].c2.[type].[source].[short_title].v[version].yaml - Layer C3 (Directives):
[namespace_org].[country].c3.directive.[behavior].v[version].yaml
The Magic of the “Spec Manager” and Resolving Crosswalks
The relational database acts as the ultimate “Linker” using URNs to connect public (Core) and private (Tenant) pieces. Furthermore, Tenants can map their internal rubrics to global standards using the maps_to_taxonomy block, allowing local sovereignty without losing general regulatory compliance.